Identification of building heating systems as controlled objects within automated heat supply stations
- DOI
- 10.2991/aime-17.2017.133How to use a DOI?
- Keywords
- Mathematical model, heating system, automation, parametric identification, energy saving
- Abstract
This article concentrates on the analysis of building heating systems as controlled objects within the dispatching automated power system of a group of buildings. As a result of experiments, main control, perturbation influence, and the controlled variable - heating system return temperature - are defined. These data form the basis of a developed mathematical model by means of a structural diagram with the use of Laplace transformation. The effect of outer air temperature on the output signal behaviour and the range of the coefficient of a model equation is shown by experiments. To determine coefficients of the transfer function over the main control channel parametric identification of the controlled object was performed and the given model adequacy was shown. This approach forms the basis of mathematical and simulation modelling of distributed power systems of a group of buildings for the purpose of rationalization of energy resources consumption. The obtained results show the possibility to construct distributed groups of buildings with various levels of automation.
- Copyright
- © 2017, the Authors. Published by Atlantis Press.
- Open Access
- This is an open access article distributed under the CC BY-NC license (http://creativecommons.org/licenses/by-nc/4.0/).
Cite this article
TY - CONF AU - Alexey Sergeevich Soldatenkov AU - Evgeny Anatolyevich Potapenko AU - Olga Vladimirovna Parashchuk PY - 2017/07 DA - 2017/07 TI - Identification of building heating systems as controlled objects within automated heat supply stations BT - Proceedings of the International Conference "Actual Issues of Mechanical Engineering" 2017 (AIME 2017) PB - Atlantis Press SP - 823 EP - 828 SN - 2352-5401 UR - https://doi.org/10.2991/aime-17.2017.133 DO - 10.2991/aime-17.2017.133 ID - Soldatenkov2017/07 ER -